A combined statistical bias correction and stochastic downscaling method for precipitation

@inproceedings{Volosciuk2016ACS,
  title={A combined statistical bias correction and stochastic downscaling method for precipitation},
  author={Claudia D. Volosciuk and D. Maraun and Mathieu Vrac and Martin Widmann},
  year={2016}
}
Much of our knowledge about future changes in precipitation relies on global (GCM) and/or regional climate models (RCM) that have resolutions which are much coarser than typical spatial scales of precipitation, particularly extremes. The major problems with these projections are both climate model biases and the gap between gridbox and point scale. Wong et al. developed a model to jointly bias correct and downscale precipitation at daily scales. This approach, however, relied on pairwise… CONTINUE READING

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Bias Correcting Climate Change Simulations - a Critical Review

  • Current Climate Change Reports
  • 2016
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